Lead Engineer, C2 CJoin as a Lead Engineer at Mongo DB.
We are seeking a Lead Engineer to join the Cluster to Cluster Synchronization team.
We are working to make the migration and recovery of Mongo DB clusters easy, fast, and reliable.
Data movement is a key priority for Mongo DB and we use our services and tools to migrate customers from on‑prem Mongo DB to Mongo DB Atlas.
This team is responsible for building scalable, performant, and low‑downtime migration services such as the Atlas Live Migration service or the standalone mongosync offering.
As a Lead Engineer you will grow and lead a team in Ireland within the Cluster to Cluster Synchronization team.
Location Dublin, County Dublin, Ireland Employment Type Full‑time Responsibilities Grow and lead the Cluster to Cluster Migration Services team Coach engineers to help them deliver successfully and grow professionally Work with product managers, program managers, and other engineering teams to specify, prioritize and deliver new features that delight users Develop, maintain, and apply a deep technical understanding of mongosync and relevant details of sharding and replication in Mongo DBBalance your time between leading your team, mentorship, product planning and architectural design Estimate task complexity, report progress, and voice risks for projects executed by the team Actively participate in growing the team by hiring Candidate Profile2+ years of experience managing a team of 3+ engineers and providing technical leadership5+ years of professional experience developing software in compiled languages (Java, Go, C#, C++, etc.)Experience designing, writing, testing, and maintaining databases or distributed systems Experience mentoring engineers and providing technical leadership for teams and/or projects Deep interest in developing the careers of your team members and growing their leadership skills Excellent verbal and written technical communication skills Curiosity and willingness to learn new things in computer science and software engineering Success Measures In three months, meet all team members, onboard into the codebase, contribute to an ongoing project, track and report progress, and begin participating in product roadmap planning In six months, review code and new feature designs, interview potential hires, work with each engineer on a growth plan, and help the team achieve key milestones for a scalable verification system In twelve months, lead the team toward achieving 2026 objectives, understand the long‑term roadmap, establish yourself as a leader, and collaborate across the organization to achieve goals About Mongo DBMongo DB is built for change, empowering our customers and our people to innovate at the speed of the market.
We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software.
Mongo DB's unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI.
Our cloud‑native platform, Mongo DB Atlas, is the only globally distributed, multi‑cloud database available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI‑native startups—Mongo DB powers the next era of software.
Mongo DB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process.
To request an accommodation due to a disability, please inform your recruiter.
Mongo DB is an equal opportunities employer.
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